Idea Name: |
FireFighting Drones |
Slogan: |
Fights fire efficiently |
Supervisor Name: |
Dr Gul Shahzad |
Supervisor Designation: |
Head Of Post Graduate Program |
Supervisor School: |
PNEC |
Supervisor Department: |
Electronics and Power Engineering |
Contact number: |
+92 335 1771779 |
Email ID: |
[email protected] |
Abstract: |
Fire Fighting drones are a swarm of drones that detect and put out fire using thermal cameras, CarbondiOxide balls and computer vision. The fire will be detected and put out in a few seconds, lowering the damage and make the whole process efficient. |
What is the unmet need in society that your idea will fulfill ? |
Damage is already done when buildings like factories and warehouses catch fire before the firefighters arrive.These places do have sprinklers, but the water from the sprinklers has the potential to damage the products.We can deploy the FireFighting Drones to combat that which uses CO2 balls instead. |
Who needs it ? How many would benefit ? |
Warehouses will benefit from this as this will help in saving there goods from greater damage due to the use of CO2 balls. As the drones will already be present in the location, the detection of the fire will happen there and then with no time delay fire will be put out due to the 3d mapping system. |
How will the solution works |
Swarm technology is integrated into the drone to do ground surveys. For efficient inspections, the ground area will be divided and assigned to each drone in the swarm. The Computer-Vision based fire detection algorithms will be put into action by the swarm. The video feed from the thermal sensors and the visual camera will be searched for indications of fire. The fire detection algorithm will be trained using Machine Learning and Deep Learning Models. |
Who are your competitors ? How is your solution different |
The drones are completely autonomous requiring no human input after being set and mapped. The use of CO2 balls is effective as it protects goods and is also lightweight ensuring stability of the drone. |
Status: |
new |
Entry Date & Time: |
2022-12-15 (1735) |